Director, Physical AI for Autonomous Discovery

The Director, Physical AI for Autonomous Discovery leads the In Silico Drug Discovery team at Johnson & Johnson, defining the Physical AI strategy and developing models for autonomous laboratory experimentation. This role combines AI, robotics, and scientific reasoning to create systems that perceive, reason, act, and continuously improve experimental outcomes. The position requires strong leadership, technical expertise in AI and machine learning, and the ability to collaborate across multidisciplinary teams to deploy reliable closed-loop learning in real laboratory environments.